Nvidia reported that its revenue for the third fiscal quarter ended October 27 was $35.1 billion, up 17% from the previous quarter and up 94% from a year ago.
GAAP earnings for the quarter were 78 cents a diluted share, up 16% from the previous quarter and up 111% from a year ago. Non-GAAP earnings per diluted share were 81 cents, up 19% from the previous quarter and up 103% from a year ago.
The company’s stock is trading up in after-hours trading, even though it is below where the Analysts estimate that Nvidia’s quarterly results would be $38.2 billion in revenue and 85 cents per share in earnings.
There’s always a lot at stake with Nvidia’s earnings these days. Thanks to AI growth, Nvidia’s market value is $3.16 trillion, making it second compared to fellow tech firm Apple, valued at $3.66 trillion.
That stock price has meant that investors view Nvidia as invincible. But the company got a shock to its systems in the past month as China’s DeepSeek AI announced it was able to deploy an AI model that performed well even though it was trained at a fraction of the cost of other heavy-duty AI models. That suggested to investors that such companies might not need all of Nvidia’s AI processors, and it led to a selloff in the company’s stock.
More recently, Microsoft appeared to back off on its decision to invest heavily into AI data centers. This earnings call is the first chance to talk extensively about why Nvidia still has big opportunities ahead of it.
“The age of AI is in full steam, propelling a global shift to Nvidia computing,” said Jensen Huang, founder and CEO of Nvidia, in a statement. “Demand for Hopper and anticipation for Blackwell — in full production — are incredible as foundation model makers scale pretraining, post-training and inference.
“AI is transforming every industry, company and country. Enterprises are adopting agentic AI to revolutionize workflows. Industrial robotics investments are surging with breakthroughs in physical AI. And countries have awakened to the importance of developing their national AI and infrastructure,” he said.
Nvidia’s Outlook
Nvidia’s outlook for the fourth quarter of fiscal 2025 is as follows: Revenue is expected to be $37.5 billion, plus or minus 2%. GAAP and non-GAAP gross margins are expected to be 73.0% and 73.5%, respectively, plus or minus 50 basis points.
GAAP and non-GAAP operating expenses are expected to be approximately $4.8 billion and $3.4 billion, respectively. GAAP and non-GAAP other income and expense are expected to be an income of approximately $400 million, excluding gains and losses from non-affiliated investments and publicly-held equity securities.
Data Center
Third-quarter revenue was a record $30.8 billion, up 17% from the previous quarter and up 112% from a year ago.
The company announced the availability of Nvidia Hopper H200-powered instances in several cloud services, including AWS, CoreWeave and Microsoft Azure, with Google Cloud and Oracle Cloud Infrastructure coming soon.
It also launched Denmark’s largest sovereign AI supercomputer, an Nvidia DGX SuperPOD driven by 1,528 NVIDIA H100 Tensor Core GPUs and interconnected using NVIDIA Quantum-2 InfiniBand networking.
The company also introduced the Nvidia AI Aerial platform for telecommunications providers and began working with T-Mobile, Ericsson and Nokia to accelerate the commercialization of AI-RAN.
And they announced that SoftBank is building Japan’s most powerful AI supercomputer with the Nvidia Blackwell platform and has successfully piloted the world’s first combined AI and 5G telecom network using Nvidia AI Aerial.
The company revealed that cloud leaders in India, Japan and Indonesia are building AI infrastructure with Nvidia accelerated computing, while consulting leaders are helping speed AI adoption across industries with Nvidia AI Enterprise software.
Accelerated xAI’s Colossus supercomputer cluster, using 100,000 Nvidia Hopper GPUs, with the Nvidia Spectrum-X Ethernet networking platform. It also unveiled a partnership with Foxconn to build Taiwan’s fastest AI supercomputer with Nvidia Blackwell.
Nvidia nnounced that Blackwell debuted on MLPerf Training, completed all tests and delivered up to 2.2 times performance gains on large language model benchmarks.
And it contributed foundational elements of the Nvidia Blackwell design to the Open Compute Project and broadened Nvidia Spectrum-X support for OCP standards.
Nvidia revealed that U.S. technology companies including Accenture, Deloitte and Google Cloud are tapping Nvidia AI software to create custom AI applications, transforming industries worldwide.
And it said it was expanding a partnership with Lenovo to launch new hybrid AI solutions and systems optimized to run Nvidia AI Enterprise software.
Gaming and AI PC
Third-quarter Gaming revenue was $3.3 billion, up 14% from the previous quarter and up 15% from a year ago. That is a respectable performance ahead of the FYQ1 launch currently underway of the Nvidia GeForce RTX 50 Series graphics cards for gaming computers.
The company celebrated the 25th anniversary of GeForce 256, the world’s first GPU, which marked a breakthrough for gaming and laid the foundation for an AI-driven future.
It demonstrated Nvidia ACE and digital human technologies in Mecha Break, featuring the Minitron 4B model for better in-game character responses, at Gamescom.
The company introduced 20 GeForce RTX and DLSS titles, including Indiana Jones and the Great Circle and Dragon Age: The Veilguard.
And Nvidia began shipping new RTX AI PCs with 321 AI trillion operations per second of performance from ASUS and MSI, with Microsoft Copilot+ capabilities anticipated next quarter.
Professional Visualization
Third-quarter revenue was $486 million, up 7% from the previous quarter and up 17% from a year ago.
Nvidia announced that Foxconn is using digital twins and industrial AI built on Nvidia Omniverse to bring online faster three factories used to manufacture Nvidia GB200 Grace Blackwell Superchips.
Nvidia revealed that leading industrial manufacturers in India, including Reliance and Ola Motors, and Japan, including Toyota, Yaskawa, and Seven and I Holdings, are using Nvidia AI and Omniverse to automate workflows and drive more efficient operations.
It unveiled Nvidia Holoscan for Media, an AI-enabled, software-defined platform that allows live media and video pipelines to run on the same infrastructure as AI, enhancing production delivery.
Automotive and Robotics
Third-quarter Automotive revenue was $449 million, up 30% from the previous quarter and up 72% from a year ago.
The company revealed that Volvo is releasing a new electric SUV built on Nvidia accelerated computing.
Introduced Project GR00T AI and simulation tools for robot learning and humanoid development, and new generative AI tools and perception workflows for robotics developers.
Announced that Japanese and Indian companies including Toyota and Ola Motors are using NVIDIA Isaac and Omniverse to build the next wave of physical AI.
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